Industrial IoT (IIoT) posts

In edge computing, system reliability is crucial. Barbara's Alert Manager ensures proactive monitoring and alerts to address issues before they escalate. Fully integrated into the Barbara Ecosystem, the Alert Manager enhances your operational efficiency and minimizes downtime.‍

Why Kubernetes isn't Ideal for Industrial Infrastructure. Barbara offers a powerful alternative: Docker-native edge orchestration, purpose-built for the thin edge.

As companies start their digital transformation process, they plan and implement a data-centric strategy. Their “Data team” explores how to leverage the company’s data to solve specific problems, optimize processes, or create new revenue streams. This is a journey that starts by obtaining data and can culminate as far as in the creation of AI models from this data. This is the Data Journey

The digital transformation of any company, especially industrial companies, begins with a data-centric strategic approach. A “Data team” explores how to leverage the company’s data to solve specific problems, optimize processes, or create new revenue streams. This marks the start of what can be called their “Data Journey”. During this process, there will be a moment where the Data team must integrate their creations—apps and even AI algorithms—with the company's infrastructure to either extract data from their assets or trigger actions, or both. This is where friction begins.